US,UK COVID-19 & FTSE,SPY Project

Predicting economic performance of US, UK using Time Series Forecast and using FTSE and SPY as indicators of economic performance.

Predicitng the impact of COVID-19 pandemic on US and UK economies using various regression models.

Dataset Size: 439 rows × 18 columns

Read CSV File to Data Frame

Data Visualisation of Numerical Features

Checking for Duplicates

Replacing Missing Values

Replacing NaNs using Mean of the column

Replacing NaNs with the value from the previous row or the next row

Replacing NaNs with the specific values

Detect and Drop Outliers

Save clean data to csv file

Import Cleaned Data CSV

General Linear Models (GLM) for FTSE Close Price

General Linear Models (GLM) for SPY Close Price

Random Forest Regression for FTSE Close Price

Random Forest Regression for SPY Close Price

Decision Tree Boosting

K Nearest Neighbour Regression for FTSE Close Price

K Nearest Neighbour Regression for SPY Close Price

Ridge Lasso ElasticNet Regression for FTSE Close Price

Ridge Lasso ElasticNet Regression for SPY Close Price

SARIMAX Auto Time Series for UK and US COVID-19

Exponential Model Time Series for UK COVID-19

Exponential Model Time Series for US Covid-19

ARIMA UK COVID 19

ARIMA US COVID 19